Senior Data Scientist
AMER - Canada - Ontario - Toronto - University Ave
CAD 107K-156K Senior-level Full Time
Tasks
- Build causal and predictive models in Python
- Collaborate on data quality and model deployment
- Conduct robustness checks and sensitivity analyses
- Construct scalable analytical datasets
- Define experimentation roadmap and decision thresholds
- Design and evaluate randomized controlled trials
- Design measurement pipelines and randomization frameworks
- Develop quasi experimental measurement frameworks
- Develop reusable experimentation and inference toolkits
- Educate cross functional partners on causal inference
- Lead experimentation and causal inference initiatives
- Transform structured and semi structured data using SQL
- Translate statistical findings into decision recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Bayesian Methods | Causal Inference | Data Warehousing | Difference-in-differences | DoWhy | EconML | Heterogeneous treatment effects | Hierarchical modeling | Instrumental Variables | Machine Learning | NumPy | Pandas | Power analysis | Python | Randomized-Controlled Trials | Regression | Regression discontinuity | SQL | Scikit-learn | StatsModels | Synthetic control | Uplift Modeling
Education
N/A
Roles
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